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We invite submissions on get the job done in progress and mature investigation, including “spotlight” papers summarizing current success from various papers with the authors. Choice might be offered to new and ongoing work about precise resubmissions of previously released work. 

This workshop highlights these interdisciplinary and interrelated things to consider that affect the true-entire world deployability of the AI model, and its liable utilization inside of a societally helpful way. 

The workshop aims to foster collaboration and realistic insights into enhancing Net agent systems, concentrating on agentic workflows, scalability, and dependability for organization apps.

We foresee an audience of somewhere around 300 participants, which include scientists and industry Reps enthusiastic about AI4Research.  A significant problem In this particular interdisciplinary area is that AI developers and experts in other disciplines frequently perform by themselves issues.

We have now by now seen a number of accomplishment stories of AI in application domains like elements discovery, ecology, wildlife conservation, and molecule structure optimization.  

Now we have effectively designed Generative AI and ML alternatives nearshore for our shoppers making use of big language types and equipment Mastering frameworks since 2016.

Drawing on learnings from our ongoing in-house experimentation with AI, we’re psyched to start out internet hosting these workshops and will have extra specifics in late tumble 2024. Both equally in-man or woman and online selections can be found ranging from $199.

This workshop will carry jointly experts to take a look at the transformative position of AI in Health care whilst addressing the significant worries that come with it. 

It's going to be structured into classes aligned with unique analysis themes. Every session will open with a showcased invited speak, with the rest specializing in displays by authors of recognized papers.

NIST Draft Stories: NIST counts on stakeholders to review drafts of reviews on various AI troubles. Drafts commonly are prepared based upon inputs from non-public and general public sector people today and companies and afterwards posted for broader  community review on NIST’s AI Web site and through email alerts. Community comments assist to enhance these paperwork. Enroll in AI-linked emails here.

As huge language products (LLMs) develop into additional complex and pervasive, the risk of misinformation they produce poses major problems. This workshop aims to handle the particular challenges relevant to misinformation produced by LLMs, concentrating on the two avoidance and detection strategies.

Submissions can have relevant operate in all possible stages, together with function that was recently printed, is underneath submission in other places, was only lately completed, or continues to be ongoing. Authors of papers revealed or below submission in other places are encouraged to submit the first papers or brief versions check here (together with abstracts) to teach other scientists with regards to their perform, as long as resubmissions are clearly labelled in order to avoid copyright violations.

By concentrating on these essential difficulties, we purpose to mitigate the damage because of LLM-generated misinformation across various domains.

In parallel, we strategy to have a poster session through the entire workshop working day to aid discussions among the members.